Search Results - (( being solution using algorithm ) OR ( simulation optimization method algorithm ))
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…In this research, two novel estimation-based metaheuristic optimization algorithms, named as Simulated Kalman Filter (SKF), and single-solution Simulated Kalman Filter (ssSKF) algorithms are introduced for global optimization problems. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Simulated Annealing is a global optimization technique which traverses the search space by generating neighboring solutions of the current solution. …”
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Monograph -
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Opposition-based Whale Optimization Algorithm
Published 2018“…The OWOA use the Opposition-based method to enhance Whale Optimization Algorithm (WOA) performance. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Simulated Kalman filter (SKF) algorithm is one of the algorithms under this classification. …”
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Finite impulse response optimizers for solving optimization problems
Published 2019“…Simulated Kalman filter (SKF) algorithm is one of the algorithms under this classification. …”
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Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification
Published 2015“…As a solution, nature inspired metaheuristic algorithms provide derivative-free solution to optimize complex problems. …”
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Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…In future work, the algorithm can still be optimized to offer better performance. …”
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Proceeding Paper -
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PAPR Reduction Using Genetic Algorithm (GA) In OFDM System
Published 2018“…In this thesis, a Genetic algorithm (GA) technique is proposed. GA is a type of optimization algorithm, which is natural-based selection and is used to find the optimal solution to the computational problem that maximizes or minimizes a particular function. …”
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Monograph -
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Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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A STUDY OF MARINE CSEM SURVEY GEOMETRY FOR SEABED LOGGING
Published 2011“…In recent years marine Controlled Source Electromagnetic (CSEM) method is being used for hydrocarbon exploration in deeper water. …”
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Time Series method has always been used in a variety of forecasting applications. …”
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Optimization of neural network using cuckoo search for the classification of diabetes
Published 2015“…In this paper, we proposed diabetes classifier based on the cuckoo search algorithm (CS) and Neural Network (NN). The weights and bias of the NN was trained using the CS to deviate from being stuck in local minima. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Study on criticality Minimizing Cost in power system with optimal design of stochastic wind power generators using moth flow optimization
Published 2022“…It results in a cost savings of 1.45% per hour when compared to the worst alternatives given by the comparison algorithm. According to simulation results on the IEEE 30-bus network with six generators, this approach might offer the best solution right away. …”
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Conference or Workshop Item -
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Network reconfiguration and DG sizing incorporating optimal switching sequence for system improvement / Ola Subhi Waheed Badran
Published 2018“…To assess the capabilities of the proposed method, simulations using MATLAB were carried out on IEEE 16-bus, IEEE 33-bus, IEEE 69-bus, and IEEE 118-bus radial distribution networks. …”
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A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
Published 2010“…SNR values can be as low as -10 dB in real clinical environments. The simulation results produced by the post-modified SSA2 algorithm, show a higher degree of consistencies in detecting the VEP's P100, P200, and P300 peaks, in comparisons to the pre-modified SSA1 method. …”
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Citation Index Journal -
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Optimization of turning parameters using genetic algorithm method
Published 2008“…The simulation based on Genetic Algorithm are successful develop and the optimum parameters values are obtained from the simulation.…”
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Undergraduates Project Papers -
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…This thesis proposes and simulates the three novel optimization algorithms to handle DG allocation, different single-objective, and multi-objective OPF problems. …”
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A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…An example of a numerical algorithm is the simulated Kalman filter (SKF). Various method has been introduced as an extension of a numerical algorithm to adapt it to a discrete search space. …”
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